Energy Harvesting

Georgiadis, Apostolos; Collado, Ana; Tentzeris, Manos M.

doi:10.1017/9781139600255

Cited by 10 publications

(9 citation statements)

References 192 publications

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“…The end-to-end efficiency of a far-field WPT is defined as the product of each subsystem's efficiency, e.g. transmit efficiency, free-space propagation (channel) efficiency and the power receiver efficiency [2], [9], [130]. The channel efficiency depends on antenna's gain, propagation channel properties, the power transmitter-receiver distance and the operating frequency [51].…”

Section: Wpt Transmittermentioning

confidence: 99%

“…Oscillators and PA efficiency dominate WPT transmitters performance. Power amplifier efficiency is a function of the transmitted power level, the selected technology and the operating frequency [2], e.g. [51] presents the analysis of the end-to-end efficiency of a mm-wave WPT system.…”

Section: Wpt Transmittermentioning

confidence: 99%

“…To overcome the dependency on batteries, ambient energy can be collected, converted and finally utilized; this is known as energy harvesting (EH) or energy scavenging. Solar, thermal, kinetic and Radio Frequency (RF) sources are potential solutions for the energy autonomous operation of the Internet of Things (IoTs) and machine-to-machine devices [2], [3].…”

Section: Introductionmentioning

confidence: 99%

“…An alternative solution towards the autonomous operation of these emerging technologies is the intentional power transfer towards the targeted application. Wireless Power Transmission (WPT) can be near-field or farfield [2], [5], [6], [7]. The increased interest for RF EH and WPT technologies has resulted in a number of research and development activities on these areas, e.g.…”

Section: Introductionmentioning

confidence: 99%

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RF Energy Harvesting and Wireless Power Transfer for Energy Autonomous Wireless Devices and RFIDs

Niotaki

Carvalho

Georgiadis³

et al. 2023

IEEE J. Microw.

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Radio frequency (RF) energy harvesting and wireless power transmission (WPT) technologies -both near-field and far-field-have attracted significant interest for wireless applications and RFID systems. We already utilize near-field WPT products in our life and it is expected that RF EH and far-field WPT systems can drive the future low-power wireless systems. In this article, we initially present a brief historical overview of these technologies. The main technical challenges of rectennas and WPT transmitters are discussed. Furthermore, this paper presents the recent advances on the development of these technologies, including the possibility of powering RFID systems through the millimeter wave power from 5G networks, the trends in flexible rectennas design and the technological developments on the simultaneous wireless information and power transfer (SWIPT).

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Section: Wpt Transmittermentioning

confidence: 99%

Section: Wpt Transmittermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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RF Energy Harvesting and Wireless Power Transfer for Energy Autonomous Wireless Devices and RFIDs

Niotaki

Carvalho

Georgiadis³

et al. 2023

IEEE J. Microw.

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“…Currently, the Wireless Power Transfer solutions employ light, mechanical/kinetic and electromagnetic powers. Regarding the electromagnetic Wireless Power Transfer, several technologies coexists: in near-field (capacitive, nonresonant inductive and resonant inductive) and in far-field (radiative) [5]. Despite their high efficiencies and large variety of performances, near-field solutions have generally a short range of use (from millimeters to a few meters), which makes these unsuitable for Wireless Sensor Networks deployed in broad areas (e.g., from rooms, to cities, through buildings) unlike far-field solutions.…”

Section: Introductionmentioning

confidence: 99%

Autonomous Industrial IoT for Civil Engineering Structural Health Monitoring

Loubet,

Sidibe,

Herail

et al. 2024

IEEE Internet Things J.

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This paper presents a wireless Sensing Node part of a Wireless Sensor Network dedicated to the deployment of a Cyber-Physical System intended for the Structural Health Monitoring of reinforced concretes. This low-power Sensing Node requires less than 21 mJ for a full processing: measurement, data formatting and transmission of a 17 bytes LoRaWAN frame; id est 39 µJ per transmitted bit. It is designed to be buried in reinforced concrete and is battery-free and energy autonomous for long-term deployment by a radiative electromagnetic Wireless Power Transfer approach. The Sensing Node is cold-start compatible down to a power of -17 dBm available at the output of the antenna. It is able to wirelessly transmit data over at least tens of meters thanks to the LoRaWAN wireless communication technology. Moreover, it is wirelessly, remotely and omnidirectionally powered and controlled by a Communicating Node over meters, with the respect of regional regulatory constraints (Equivalent Isotropic Radiated Power of +33 dBm allowed in the 868 MHz Industrial, Scientific and Medical frequency band). By being a generic platform, this Sensing Node can employ various sensors to measure relevant parameters for the targeted application, id est: temperature, relative humidity, mechanical deformation through the strain, and electrical resistivity whose the variation allows to estimate the corrosion rate. By simultaneously using the same 868 MHz Industrial, Scientific and Medical frequency band for the wireless communication and the Wireless Power Transfer, the Sensing Node meets the Simultaneous Wireless Information and Power Transfer paradigm with a unique antenna and without interferences. Thus, the tested system allows the deployment of the subnetwork of two Communicating Nodes and several Sensing Nodes (currently four) to cover a surface/volume of several meters, currently up to 11 meters around each Communicating Node indoors. Finally, this system can be easily deployed for other applications requiring energy autonomous Wireless Sensor Networks, especially in harsh environments,

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Enhanced Machine Condition Monitoring Based on Triboelectric Nanogenerator (TENG): A Review of Recent Advancements

Mehamud,

Björling,

Marklund

et al. 2024

Advanced Sustainable Systems

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Intelligent machine condition monitoring is desirable to enable Industry 4.0 and 5.0 to create sustainable products and services via the integration of automation, data exchange, and human–machine interface. In the past decades, huge progress has been achieved in establishing sustainable machine condition monitoring systems via various sensing technologies. Yet, the dependence on external power sources or batteries for sensing and data communication remains a challenge. In addition, energy harvesting and sensing are dynamically growing research fields introducing various working mechanisms and designs for improved performance, flexibility, and integrability. Recently, triboelectric nanogenerators (TENG) have been applied as a new technology for energy harvesting and sensing to monitor machine performance. This manuscript presents the potential application of TENG for self‐powered sensors and energy harvesting technology for machine condition monitoring, where the developmental aspects of TENG‐based devices including the robustness of design and device integration to machine elements are reviewed. For better comparison, the performance of various reported devices is summarized. Simultaneously, the advanced results achieved in employing TENGs for various condition analysis techniques and self‐powered wireless communication for machine condition monitoring are discussed. Finally, the challenges, and key strategies for utilizing TENGs for machine condition monitoring in the future, are presented.

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Energy Harvesting

Cited by 10 publications

References 192 publications

RF Energy Harvesting and Wireless Power Transfer for Energy Autonomous Wireless Devices and RFIDs

RF Energy Harvesting and Wireless Power Transfer for Energy Autonomous Wireless Devices and RFIDs

Autonomous Industrial IoT for Civil Engineering Structural Health Monitoring

Enhanced Machine Condition Monitoring Based on Triboelectric Nanogenerator (TENG): A Review of Recent Advancements

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